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Computer use agents create new privacy risks: training data collected from real websites inevitably contains sensitive information, and cloud-hosted inference exposes user screenshots. Detecting personally identifiable information in web…

Cryptography and Security · Computer Science 2026-03-19 Nathan Zhao

Dark patterns are ubiquitous in digital systems, impacting users throughout their journeys on many popular apps and websites. While substantial efforts from the research community in the last five years have led to consolidated taxonomies…

Human-Computer Interaction · Computer Science 2025-02-13 Colin M. Gray , Thomas Mildner , Ritika Gairola

Modern mobile applications rely on hidden interactions--gestures without visual cues like long presses and swipes--to provide functionality without cluttering interfaces. While experienced users may discover these interactions through prior…

Human-Computer Interaction · Computer Science 2026-01-28 Minkyu Kweon , Seokhyeon Park , Soohyun Lee , You Been Lee , Jeongmin Rhee , Jinwook Seo

Deceptive UI designs, widely instantiated across the web and commonly known as dark patterns, manipulate users into performing actions misaligned with their goals. In this paper, we show that dark patterns are highly effective in steering…

Cryptography and Security · Computer Science 2026-02-09 Phil Cuvin , Hao Zhu , Diyi Yang

The problem of ``Dark Patterns" in user interface/user experience (UI/UX) design has proven a difficult issue to tackle. Malicious and explotitative design has expanded to multiple domains in the past 10 years and which has in turn led to…

Computers and Society · Computer Science 2024-02-27 Frank Lewis , Julita Vassileva

Text-to-Image (T2I) models generate high-quality images but are vulnerable to malicious backdoor attacks that inject harmful biases (e.g., trigger-activated gender or racial stereotypes). Existing debiasing methods, often designed for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Hongyi Cai , Mohammad Mahdinur Rahman , Mingkang Dong , Muxin Pu , Moqyad Alqaily , Jie Li , Xinfeng Li , Jialie Shen , Meikang Qiu , Qingsong Wen

With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and increase market competitiveness. A good interaction design is…

Human-Computer Interaction · Computer Science 2023-07-04 Jason Ching Yuen Siu , Jieshan Chen , Yujin Huang , Zhenchang Xing , Chunyang Chen

Interest in unethical user interfaces has grown in HCI over recent years, with researchers identifying malicious design strategies referred to as ''dark patterns''. While such strategies have been described in numerous domains, we lack a…

Human-Computer Interaction · Computer Science 2023-05-23 Thomas Mildner , Merle Freye , Gian-Luca Savino , Philip R. Doyle , Benjamin R. Cowan , Rainer Malaka

A common cause of bugs and vulnerabilities are the violations of usage constraints associated with Application Programming Interfaces (APIs). API misuses are common in software projects, and while there have been techniques proposed to…

Software Engineering · Computer Science 2022-04-22 Hong Jin Kang , David Lo

Many accessibility features available on mobile platforms require applications (apps) to provide complete and accurate metadata describing user interface (UI) components. Unfortunately, many apps do not provide sufficient metadata for…

There is a rapidly growing literature on dark patterns, user interface designs -- typically related to shopping or privacy -- that researchers deem problematic. Recent work has been predominantly descriptive, documenting and categorizing…

Human-Computer Interaction · Computer Science 2021-01-14 Arunesh Mathur , Jonathan Mayer , Mihir Kshirsagar

Recent object detection approaches rely on pretrained vision-language models for image-text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it contains additional OCR information, which describes its…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Zhangxuan Gu , Zhuoer Xu , Haoxing Chen , Jun Lan , Changhua Meng , Weiqiang Wang

Linguistic anti-patterns are recurring poor practices concerning inconsistencies among the naming, documentation, and implementation of an entity. They impede readability, understandability, and maintainability of source code. This paper…

The study of UX dark patterns, i.e., UI designs that seek to manipulate user behaviors, often for the benefit of online services, has drawn significant attention in the CHI and CSCW communities in recent years. To complement previous…

Human-Computer Interaction · Computer Science 2024-02-06 Yuwen Lu , Chao Zhang , Yuewen Yang , Yaxing Yao , Toby Jia-Jun Li

Extracting semantic representations from mobile user interfaces (UI) and using the representations for designers' decision-making processes have shown the potential to be effective computational design support tools. Current approaches rely…

Human-Computer Interaction · Computer Science 2023-09-20 Seokhyeon Park , Wonjae Kim , Young-Ho Kim , Jinwook Seo

As LLM-based computer-use agents (CUAs) begin to autonomously interact with real-world interfaces, understanding their vulnerability to manipulative interface designs becomes increasingly critical. We introduce SusBench, an online benchmark…

Human-Computer Interaction · Computer Science 2026-02-24 Longjie Guo , Chenjie Yuan , Mingyuan Zhong , Robert Wolfe , Ruican Zhong , Yue Xu , Bingbing Wen , Hua Shen , Lucy Lu Wang , Alexis Hiniker

Building Graphical User Interface (GUI) assistants holds significant promise for enhancing human workflow productivity. While most agents are language-based, relying on closed-source API with text-rich meta-information (e.g., HTML or…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Kevin Qinghong Lin , Linjie Li , Difei Gao , Zhengyuan Yang , Shiwei Wu , Zechen Bai , Weixian Lei , Lijuan Wang , Mike Zheng Shou

Current dark pattern research tells designers what not to do, but how do they know what to do? In contrast to prior approaches that focus on patterns to avoid and their underlying principles, we present a framework grounded in positive…

Human-Computer Interaction · Computer Science 2024-03-05 Evan Caragay , Katherine Xiong , Jonathan Zong , Daniel Jackson

Dark patterns are deceptive and malicious properties of user interfaces that lead the end-user to do something different from intended or expected. While now a key topic in critical computing, most work has been conducted in Western…

Human-Computer Interaction · Computer Science 2023-04-26 Shun Hidaka , Sota Kobuki , Mizuki Watanabe , Katie Seaborn

Situationally Induced Impairments and Disabilities (SIIDs) can significantly hinder user experience in contexts such as poor lighting, noise, and multi-tasking. While prior research has introduced algorithms and systems to address these…

Human-Computer Interaction · Computer Science 2025-02-19 Xingyu Bruce Liu , Jiahao Nick Li , David Kim , Xiang 'Anthony' Chen , Ruofei Du